PowerFlow_NR_new

一种快速简单的遗传算法程序，基于Matlab7,加入特殊的交叉算子和变异算子，使算法更快。(SpeedyGA is a vectorized implementation of a genetic algorithm in the Matlab programming language.SpeedyGA has been created and tested under Matlab 7 (R14). Added mutation and crossover mask pregeneration.)

v(k)随机信号，输入信号为幅值为M序列程序.利用极大似然递推进行参数辨识，文件的*m文件，可以直接运行，能直接辨识出参数，绘制误差曲线等，程序中带有详细注释。(v (k) random signal, the input signal amplitude for the M series for the process. the use of recursive maximum likelihood parameter identification, documentation* m files, you can directly run directly identified parameters, such as mapping error curve, procedures with detailed notes in.)

Direct Torque Control

reed solomon code polynominal generation

利用matlab仿真球、车、杆连接系统在不同风力下的运动状态(Using matlab simulation balls, cart, pole connection system in the state of motion under different wind)

Image inpainting algorithm combining both attempts: texture synthesis and image inpainting. Works especially well for texture and structure propagation, and filling-in large regions.

利用矩量法计算正方形金属柱体的散射，并计算柱体的RCS(The use of moment method to calculate the scattering of a square metal cylinders)

三相异步电机启动，变压器启动matlab仿真，希望对大家有帮助(Three-phase induction motor to start, transformers start matlab simulation, we hope to help)

“基于Floyd最短路算法的Ford和Fulkerson迭加算法”的最小费用最大流算法，其基本思路为：把各条弧上单位流量的费用看成某种长度，用Floyd求最短路的方法确定一条自V1至Vn的最短路；再将这条最短路作为可扩充路，用求解最大流问题的方法将其上的流量增至最大可能值；而这条最短路上的流量增加后，其上各条弧的单位流量的费用要重新确定，如此多次迭代，最终得到最小费用最大流。 (" Floyd shortest path algorithm based on the Ford and Fulkerson algorithm superposition" of the minimum cost maximum flow algorithm, the basic idea is: the flow of each arc on the unit cost as a length, with Floyd for the most short-circuit method to determine a from V1 to Vn of the most short-circuit then this can be expanded as the shortest way, by solving the maximum flow of traffic on the way to its maximum possible value and this increased the flow of the shortest path, on which the arcs of the unit to re-determine the cost of traffic, so several iterations, finally get the minimum cost maximum flow.)

particle swarm optimal matlab code